Triple
T19892881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxvorstadt |
E478074
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Neuhausen-Nymphenburg |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Neuhausen-Nymphenburg | Statement: [Maxvorstadt, borderedBy, Neuhausen-Nymphenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuhausen-Nymphenburg Context triple: [Maxvorstadt, borderedBy, Neuhausen-Nymphenburg]
-
A.
Neuhausen-Nymphenburg
chosen
Neuhausen-Nymphenburg is a borough of Munich, Germany, known for its historic architecture, green spaces, and the famous Nymphenburg Palace complex.
-
B.
Neubiberg
Neubiberg is a municipality in the Munich district of Bavaria, Germany, known for its residential character and proximity to the Bavarian capital.
-
C.
Winhöring
Winhöring is a municipality in southeastern Bavaria, Germany, known for its rural character within the administrative region of Upper Bavaria.
-
D.
Oberschleißheim
Oberschleißheim is a municipality near Munich in Bavaria, Germany, best known for its grand baroque Schleißheim Palace complex and surrounding historic parklands.
-
E.
Martinsried
Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590f9eb481909104a6a404c5c331 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.